Main Article Content

Abstract

Early childhood talent identification sport programs are needed to decide the potential of children in certain sports. It is expecting that children will be able to maximize sports achievements according to their talents. To find out a human's talent in sports, several parameters can be used for a measurement. One of them is the anthropocentric test, which is a series of processes for measuring the dimensions of the human body with in the form of body height and weight. Based on the results of measurement analysis, children will be able to identify their sport talents. Therefore, a website-based height and weight measurement system was developed that is able to provide information on measurement results and talents identification. The development of this tool uses the ESP 32 Dev Kit Module as a micro controller, an ultrasonic sensor for height sensors and a load cell for a weight sensor. The data are sent to the database contained on the website for further processing and analysis based on the measurement results of talent in the sports field. The measurement website page can display measurement results and identify type of talent that belongs to the child. Based on the results of measurement and data analysis, the accuracy of the tools for measuring body height were 98.7% and body weight were 99.5%, while the precision of the tools were 98.6% for body height and body weight were 97.4%.

Keywords

Anthropometry ESP 32 Dev kit module Talent identification Website

Article Details

How to Cite
Mahardika, P., & Yohandri, Y. (2021). The development of height and weight measuring instruments for web-based Anthropometric tests. INVOTEK: Jurnal Inovasi Vokasional Dan Teknologi, 21(2), 119-130. https://doi.org/https://doi.org/10.24036/invotek.v21i2.922

References

  1. [1] M. Mansur, “Pemilihan bibit unggul dalam pelatihan olahraga” pp. 87–96, 1994.
  2. [2] P. Pratiwi, “Pemanduan bakat dan minat cabang olahraga melalui metode sport search pada siswa smp negeri se kecamatan karanganyar kabupaten demak tahun 2013/2014,” Act. J. Phys. Educ. Sport. Heal. Recreat., vol. 4, no. 3, 2015.
  3. [3] P. Ratno and N. Nidyatama, “Analisis hasil talent scouting dispora kota medan cabang olahraga karate pada calon atlet ppld kota medan,” Sains Olahraga J. Ilm. Ilmu Keolahragaan, vol. 3, no. 1, pp. 45–54.
  4. [4] K. Till et al., “Identifying talent in youth sport: a novel methodology using higher-dimensional analysis,” PLoS One, vol. 11, no. 5, p. e0155047, 2016.
  5. [5] D. Nurlette and T. K. Wijaya, “Perancangan alat pengukur tinggi dan berat badan ideal berbasis arduino,” Sigma Tek., vol. 1, no. 2, pp. 172–184, 2018.
  6. [6] R. S. Tanjaya, S. H. Sitorus, and U. Ristian, “Purwarupa alat ukur berat, panjang dan suhu badan bayi berbasis web menggunakan metode fuzzy (studi kasus: status gizi bayi),” Coding J. Komput. dan Apl., vol. 7, no. 03.
  7. [7] Sugiyono, Metode penelitian pendidikan:(pendekatan kuantitatif, kualitatif dan R & D). Alfabeta, 2015.
  8. [8] E. Yudaningtyas, Belajar sistem kontrol: soal dan pembahasan. Universitas Brawijaya Press, 2017.
  9. [9] H. Pratama, E. Haritman, and T. Gunawan, “Akuisisi data kinerja sensor ultrasonik berbasis sistem komunikasi serial menggunakan mikrokontroler atmega 32,” Electrans, vol. 11, no. 2, pp. 36–43.
  10. [10] N. Sulistiowaty and M. S. Muntini, “Karakterisasi dan kalibrasi akuisisi data pada sensor massa dengan menggunakan ADC 16 Bit,” 2011.
  11. [11] M. Abdullah, Fisika Dasar 1, vol. 201. 2016.
  12. [12] N. Meiza, Y. Yulkifli, and Z. Kamus, “Pembuatan set eksperimen muai panjang digital berbasis mikrokontroler ATMEGA328,” PILLAR Phys., vol. 10, no. 1, 2017.